A cross entropy based multiagent approach for multiclass activity chain modeling and simulation

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• 作者：Tai-Yu Ma^a ; ^{tai-yu.ma@let.ish-lyon.cnrs.fr} ; Jean-Patrick Lebacque^b ; ^{lebacque@inrets.fr}
• 关键词：Dynamic traffic assignment ; Cross entropy method ; Activity chain ; Multiagent ; Bellman equation
• 刊名：Transportation Research Part C: Emerging Technologies
• 出版年：2013
• 出版时间：March, 2013
• 年：2013
• 卷：28
• 期：Complete
• 页码：116-129
• 全文大小：1630 K

文摘

This paper attempts to model complex destination-chain, departure time and route choices based on activity plan implementation and proposes an arc-based cross entropy method for solving approximately the dynamic user equilibrium in multiagent-based multiclass network context. A multiagent-based dynamic activity chain model is developed, combining travelers¡¯ day-to-day learning process in the presence of both traffic flow and activity supply dynamics. The learning process towards user equilibrium in multiagent systems is based on the framework of Bellman¡¯s principle of optimality, and iteratively solved by the cross entropy method. A numerical example is implemented to illustrate the performance of the proposed method on a multiclass queuing network.